The importance of good data, analysis, and interpretation for showing the economics of reducing healthcare- associated infection

Infection Control and Hospital Epidemiology

Volumn 32, Issue 9, 2011, Pages 927-928

  Graves, Nicholas ^a   Barnett, Adrian G ^a   Halton, Kate ^a   Crnich, Christopher ^b   Cooper, Ben ^c   Beyersmann, Jan ^d   Wolkewitz, Martin ^d   Samore, Matthew ^e   Harbarth, Stephan ^f  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b University of Wisconsin Health   (United States)

^c MAHIDOL UNIVERSITY   (Thailand)

^d UNIVERSITY OF FREIBURG   (Germany)

^e UNIVERSITY OF UTAH   (United States)

^f GENEVA UNIVERSITY HOSPITALS   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

CATHETER INFECTION; DATA ANALYSIS; ECONOMICS; HAND WASHING; HEALTH CARE COST; HEALTH CARE QUALITY; HOSPITAL COST; HOSPITAL INFECTION; HOSPITALIZATION; HUMAN; INFECTION PREVENTION; INFORMATION PROCESSING; LENGTH OF STAY; LETTER; SURGICAL INFECTION; VENTILATOR ASSOCIATED PNEUMONIA;

CATHETER-RELATED INFECTIONS; CATHETERS; CROSS INFECTION; EQUIPMENT CONTAMINATION; HUMANS;

EID: 80051775787     PISSN: 0899823X     EISSN: None     Source Type: Journal    
DOI: 10.1086/661600     Document Type: Letter

References (13)

1. Umscheid CA, Mitchell MD, Doshi JA, Agarwal R, Williams K, Brennan PJ. Estimating the proportion of healthcare-associated infections that are reasonably preventable and the related mortality and costs. Infect Control Hosp Epidemiol 2011;32(2): 101-114.
2. Hernán MA. A definition of causal effect for epidemiological research. J Epidemiol Community Health 2004;58(4):265-271.
3. Gould DJ, Moralejo D, Drey N, Chudleigh JH. Interventions to improve hand hygiene compliance in patient care. Cochrane Database Syst Rev 2010;(9):CD005186.
4. Harris AD, Lautenbach E, Perencevich E. A systematic review of quasi-experimental study designs in the fields of infection control and antibiotic resistance. Clin Infect Dis 2005;41(1): 77-82.
5. Lin MY, Hota B, Khan YM, et al. Quality of traditional surveillance for public reporting of nosocomial bloodstream infection rates. JAMA 2010;304(18):2035-2041.
6. De Angelis J, Beyersmann J, Murthy S, Harbarth S. Estimating the impact of healthcare-associated infections on length of stay and costs. Clin Microbiol Infect 2010;16:1729-1735.
7. Crnich CJ. Estimating excess length of stay due to central line-associated bloodstream infection: separating the wheat from the chaff. Infect Control Hosp Epidemiol 2010;31(11): 1115-1117.
8. Barnett AG, Beyersmann J, Allignol A, Rosenthal VD, Graves N, Wolkewitz M. The time-dependent bias and its effect on extra length of stay due to nosocomial infection. Value Health 2011; 14(2):381-386.
9. Graves N, Harbath S, Beyersmann J, Barnett A, Halton K, Cooper B. Estimating the cost of health care-associated infections: mind your p's and q's. Clin Infect Dis 2010;50(7):1017-1021.
10. Graves N. Economics and preventing hospital-acquired infection. Emerg Infect Dis 2004;10(4):561-566.
11. Kniesner TJ, Viscusi WK, Woock C, Ziliak JP. Pinning down the value of statistical life. IZA DP no. 3107. Published 2007. http: //ftp.iza.org/dp3107.pdf. Accessed July 27, 2011.
12. Graves N, McGowan JE. Nosocomial infection, the deficit reduction act, and incentives for hospitals. JAMA 2008;300(13): 1577-1579.
13. Halton K, Graves N. Economics of preventing catheter-related bloodstream infection? Emerg Infect Dis 2007;13(6):815-823.